下面给你一个**在 Debian 下配置 Hadoop(单机 / 伪分布式)**的实战步骤,适合学习和测试环境。生产集群(多节点)思路类似,但会更复杂。
sudo apt update
sudo apt install openjdk-8-jdk -y
验证:
java -version
sudo adduser hadoop
sudo usermod -aG sudo hadoop
su - hadoop
cd ~
wget https://downloads.apache.org/hadoop/common/hadoop-3.3.6/hadoop-3.3.6.tar.gz
tar -xzf hadoop-3.3.6.tar.gz
mv hadoop-3.3.6 hadoop
编辑 ~/.bashrc:
nano ~/.bashrc
添加:
export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
export HADOOP_HOME=/home/hadoop/hadoop
export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
生效:
source ~/.bashrc
验证:
hadoop version
ssh-keygen -t rsa
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
chmod 600 ~/.ssh/authorized_keys
测试:
ssh localhost
nano $HADOOP_HOME/etc/hadoop/core-site.xml
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://localhost:9000</value>
</property>
</configuration>
nano $HADOOP_HOME/etc/hadoop/hdfs-site.xml
<configuration>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
</configuration>
cp $HADOOP_HOME/etc/hadoop/mapred-site.xml.template $HADOOP_HOME/etc/hadoop/mapred-site.xml
nano $HADOOP_HOME/etc/hadoop/mapred-site.xml
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
nano $HADOOP_HOME/etc/hadoop/yarn-site.xml
<configuration>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
</configuration>
⚠️ 只执行一次
hdfs namenode -format
start-dfs.sh
start-yarn.sh
查看进程:
jps
应看到:
http://localhost:9870http://localhost:8088hdfs dfs -mkdir /input
hdfs dfs -put $HADOOP_HOME/etc/hadoop/*.xml /input
hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples-3.3.6.jar wordcount /input /output
hdfs dfs -cat /output/part-r-00000
stop-yarn.sh
stop-dfs.sh
如果你需要:
告诉我你的使用场景,我可以继续帮你配。